Leaderboards/Machine Learning in Healthcare

Machine Learning in Healthcare

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Tiffany H. Kung
Stanford Medicine
2
Connor Shorten
Florida Atlantic University
3
Dave Van Veen
Stanford Medicine
4
Paul Hager
University Hospital Ulm
5
Shahid Mohammad Ganie
King Faisal University
6
Jaya Yadav
Delhi Technological University
7
Shreya Johri
Broad Institute
8
Janani Venugopalan
Georgia Institute of Technology
9
Valentin Liévin
Google DeepMind (United Kingdom)
10
Rawan AlSaad
Weill Cornell Medical College in Qatar

Papers

1
Adapted large language models can outperform medical experts in clinical text summarization
Nature Medicine|2024
664 cit.
2
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Nature Medicine|2024
570 cit.
3
Publication in Patterns (2024) [261 citations, W4392359953]
Patterns|2024
261 cit.
4
Publication in Journal of Medical Internet Research (2024) [246 citations, W4402155831]
Journal of Medical Internet Research|2024
246 cit.
5
Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets
Scientific Reports|2025
67 cit.
6
A comparative analysis of boosting algorithms for chronic liver disease prediction
Healthcare Analytics|2024
51 cit.
7
Publication in Journal of Medical Internet Research (2024) [27 citations, W4400356746]
Journal of Medical Internet Research|2024
27 cit.
8
Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches
BMC Medical Informatics and Decision Making|2024
22 cit.
9
Enhanced and Interpretable Prediction of Multiple Cancer Types Using a Stacking Ensemble Approach with SHAP Analysis
Bioengineering|2025
15 cit.
10
An investigation of ensemble learning techniques for obesity risk prediction using lifestyle data
Decision Analytics Journal|2024
9 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
James Maningo
SeaWorld Entertainment
2
Lorie De Leon
Unknown
3
Arielle Medenilla
Unknown
4
Maria Madriaga
Unknown
5
Rimel Aggabao
Unknown
6
Camille Elepaño
Unknown
7
Giezel Diaz-Candido
Unknown
8
Morgan Cheatham
Boston Children's Hospital
9
Czarina Sillos
Unknown
10
Tamer Abuhmed
Sungkyunkwan University

Papers

1
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
Artificial Intelligence Review|2024
136 cit.
2
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data
Information Fusion|2022
113 cit.
3
Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time
Neural Computing and Applications|2022
101 cit.
4
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson’s disease
Computer Methods and Programs in Biomedicine|2023
94 cit.
5
Effective Multitask Deep Learning for IoT Malware Detection and Identification Using Behavioral Traffic Analysis
IEEE Transactions on Network and Service Management|2022
71 cit.
6
An Enhanced Grey Wolf Optimizer with a Velocity-Aided Global Search Mechanism
Mathematics|2022
44 cit.
7
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients
Journal of Biomedical Informatics|2022
44 cit.
8
Integration of machine learning algorithms and GIS-based approaches to cutaneous leishmaniasis prevalence risk mapping
International Journal of Applied Earth Observation and Geoinformation|2022
33 cit.
9
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data
IEEE Journal of Biomedical and Health Informatics|2022
33 cit.
10
Sustainable energy management in the AI era: a comprehensive analysis of ML and DL approaches
Computing|2025
31 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Carlos Guestrin
University of Washington
2
Karel G.M. Moons
University Medical Center Utrecht
3
Jimeng Sun
Illinois College
4
Yan Liu
Nankai University
5
Victor Tseng
Deep Space Industries (United States)
6
Roger G. Mark
Massachusetts Institute of Technology
7
Ezekiel Emanuel
University of Pennsylvania
8
Isaac S. Kohane
Harvard University
9
Dinggang Shen
ShanghaiTech University
10
Julian McAuley
University of California San Diego

Papers

1
"Why Should I Trust You?"
Unknown Journal|2016
15.2k cit.
2
MIMIC-III, a freely accessible critical care database
Scientific Data|2016
8.1k cit.
3
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
Annals of Internal Medicine|2015
5.2k cit.
4
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
Unknown Journal|2016
5.2k cit.
5
The impact of the MIT-BIH Arrhythmia Database
IEEE Engineering in Medicine and Biology Magazine|2001
4.6k cit.
6
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
BMJ|2015
4k cit.
7
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
PLOS Digital Health|2023
3.6k cit.
8
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
New England Journal of Medicine|2016
3.5k cit.
9
Fair Allocation of Scarce Medical Resources in the Time of Covid-19
New England Journal of Medicine|2020
3.2k cit.
10
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
Annals of Internal Medicine|2015
2.9k cit.

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